Coverage Data Quality

Coverage Data Quality is a scholarly construct that denotes the extent to which data collected for assessing coverage in a given domain exhibit accuracy, completeness, consistency, timeliness, and representativeness, thereby enabling valid and reliable evaluation of the comprehensiveness and effectiveness of coverage.

27

Publications

1.6K

Citations

353

Authors

168

Institutions

Publications per year

2017–2026

10

Authors

353

  1. PK
    Pavan Kumar Chittimalli

    Tata Consultancy Services (India), India

    2 publications · 96 citations

    2

    h-index

  2. MJ
    Mary Jean Harrold

    Georgia Institute of Technology, United States

    2 publications · 96 citations

    2

    h-index

  3. JK
    Jae-Young Kim

    Seoul National University, South Korea

    1 publications · 31 citations

    1

    h-index

  4. IK
    Ina Koch

    Goethe University Frankfurt, Germany

    1 publications · 16 citations

    1

    h-index

  5. VN
    Viswanath Nandigam

    University of California San Diego, United States

    1 publications · 61 citations

    1

    h-index

1–5 of 353

Venues

  1. BMC Pregnancy and Childbirth

    2 publications · 109 citations

    2

    h-index

  2. Bioinformatics

    2 publications · 71 citations

    2

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    2 publications · 48 citations

    2

    h-index

  4. Software Quality Journal

    1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5